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Using private forecasts to estimate the effects of monetary policy

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  • Thapar, Aditi

Abstract

I develop a methodology that uses the forecasts of market participants and of policy makers to estimate the effects of monetary policy on output and inflation. My approach has advantages over the standard practice of fitting a vector autoregression to the data. I apply my methodology to data on output, interest rates and prices. I find that, even using the Federal Reserve Board's Greenbook forecasts to control for the policy maker's information set, prices rise initially in response to a monetary contraction. This finding undermines the standard justification for including an index of commodity prices in VARs.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Monetary Economics.

Volume (Year): 55 (2008)
Issue (Month): 4 (May)
Pages: 806-824

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Handle: RePEc:eee:moneco:v:55:y:2008:i:4:p:806-824

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Web page: http://www.elsevier.com/locate/inca/505566

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References

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  1. Carmona, Carlos Capistran, 2005. "Bias in Federal Reserve Inflation Forecasts: Is the Federal Reserve Irrational or Just Cautious?," University of California at San Diego, Economics Working Paper Series qt6v28v0b6, Department of Economics, UC San Diego.
  2. Eric M. Leeper & Christopher A. Sims & Tao Zha, 1996. "What Does Monetary Policy Do?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(2), pages 1-78.
  3. Ben S. Bernanke & Alan S. Blinder, 1989. "The federal funds rate and the channels of monetary transmission," Working Papers 89-10, Federal Reserve Bank of Philadelphia.
  4. Giordani, Paolo, 2001. "An Alternative Explanation of the Price Puzzle," Working Paper Series 125, Sveriges Riksbank (Central Bank of Sweden).
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  8. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Proceedings, Federal Reserve Bank of San Francisco, issue Jun.
  9. Troy Davig & Eric M. Leeper & Hess Chung, 2004. "Monetary and Fiscal Policy Switching," NBER Working Papers 10362, National Bureau of Economic Research, Inc.
  10. Strongin, Steven, 1995. "The identification of monetary policy disturbances explaining the liquidity puzzle," Journal of Monetary Economics, Elsevier, vol. 35(3), pages 463-497, June.
  11. Christiano, Lawrence J & Eichenbaum, Martin & Evans, Charles, 1996. "The Effects of Monetary Policy Shocks: Evidence from the Flow of Funds," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 16-34, February.
  12. Ben S. Bernanke & Ilian Mihov, 1995. "Measuring Monetary Policy," NBER Working Papers 5145, National Bureau of Economic Research, Inc.
  13. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  14. Sims, Christopher A. & Zha, Tao, 2006. "Does Monetary Policy Generate Recessions?," Macroeconomic Dynamics, Cambridge University Press, vol. 10(02), pages 231-272, April.
  15. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2004. "Measuring the effects of monetary policy: a factor-augmented vector autoregressive (FAVAR) approach," Finance and Economics Discussion Series 2004-03, Board of Governors of the Federal Reserve System (U.S.).
  16. Faust, Jon & Swanson, Eric T. & Wright, Jonathan H., 2004. "Identifying VARS based on high frequency futures data," Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1107-1131, September.
  17. Monika Piazzesi, 2002. "The Fed and Interest Rates - A High-Frequency Identification," American Economic Review, American Economic Association, vol. 92(2), pages 90-95, May.
  18. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148 Elsevier.
  19. Julio Rotemberg & Michael Woodford, 1997. "An Optimization-Based Econometric Framework for the Evaluation of Monetary Policy," NBER Chapters, in: NBER Macroeconomics Annual 1997, Volume 12, pages 297-361 National Bureau of Economic Research, Inc.
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Citations

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Cited by:
  1. Joshua D. Angrist & Òscar Jordà & Guido M. Kuersteiner, 2013. "Semiparametric estimates of monetary policy effects: string theory revisited," Working Paper Series 2013-24, Federal Reserve Bank of San Francisco.
  2. Michael B. Devereux & Gregor W. Smith & James Yetman, 2009. "Consumption and Real Exchange Rates in Professional Forecasts," NBER Working Papers 14795, National Bureau of Economic Research, Inc.
  3. Barakchian, S. Mahdi & Crowe, Christopher, 2013. "Monetary policy matters: Evidence from new shocks data," Journal of Monetary Economics, Elsevier, vol. 60(8), pages 950-966.
  4. Christopher W. Crowe & S. Mahdi Barakchian, 2010. "Monetary Policy Matters: New Evidence Based on a New Shock Measure," IMF Working Papers 10/230, International Monetary Fund.
  5. Oscar Jorda, 2003. "Model-Free Impulse Responses," Working Papers 38, University of California, Davis, Department of Economics.
  6. James D. Hamilton & Seth Pruitt & Scott Borger, 2010. "Estimating the Market-Perceived Monetary Policy Rule," NBER Working Papers 16412, National Bureau of Economic Research, Inc.
  7. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.

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